3781 Engineer courses in Matlock delivered Online

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

All in One Bundle Special Discount Offer Are you looking to enhance your Biomedical Science Analyst skills? If yes, then you have come to the right place. Our comprehensive courses on Biomedical Science Analyst will assist you in producing the best possible outcome by learning the Biomedical Science Analyst skills. CPD Accredited courses you will get: Course 01: Biomedical Science Course 02: Time Management Skills Course 03: Office Skills The Biomedical Science Analyst bundle is for those who want to be successful. In the Biomedical Science Analyst bundle, you will learn the essential knowledge needed to become well versed in Biomedical Science Analyst . Our Biomedical Science Analyst bundle starts with the basics of Biomedical Science Analyst and gradually progresses towards advanced topics. Therefore, each lesson of this Biomedical Science Analyst is intuitive and easy to understand. Why would you choose the Biomedical Science Analyst course from Compliance Central: Lifetime access to Biomedical Science Analyst courses materials Full tutor support is available from Monday to Friday with the Biomedical Science Analyst course Learn Biomedical Science Analyst skills at your own pace from the comfort of your home Gain a complete understanding of Biomedical Science Analyst course Accessible, informative Biomedical Science Analyst learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the Biomedical Science Analyst bundle Study Biomedical Science Analyst in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Biomedical Science Analyst Course Improve your chance of gaining in demand skills and better earning potential by completing the Biomedical Science Analyst Curriculum of Course 01: Biomedical Science Module 01: Introduction to Biomedical Science Module 02: Genetics and Biochemistry Module 03: Microbiology and Cell Biology Module 04: Biochemical Engineering and Enzyme Discovery Module 05:Toxicology, Pharmaceuticals and Fine Chemicals Module 06: Systems and Synthetic Biology Module 07: Global Health Challenges Curriculum of Course 02: Time Management Skills Module 01: Importance and Benefits of Time Management Module 02: Assess Your Current Work Practice Module 03: Identifying the Priorities Module 04: Say 'No' to Procrastination Module 05: Set Your Goals Module 06: Plan the Work Module 07: Work the Plan Module 08: Effective Time Management Techniques Module 09: Combat the Time Wasters Module 10: Time Management for Creative Work Module 11: The Art of Anticipating Module 12: Avoid Time Leaks Curriculum of Course 03: Office Skills Module 01: Core Office Skills Module 02: Self-Management Module 03: Organizing and Planning (i) Module 04: Organizing and Planning (ii) Module 05: Rapport Building CPD 30 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Biomedical Science Analyst bundle helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Biomedical Science Analyst. It is also great for professionals who are already working in Biomedical Science Analyst and want to get promoted at work. Requirements To enrol in this Biomedical Science Analyst course, all you need is a basic understanding of the English Language and an internet connection. Career path The Biomedical Science Analyst course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Biomedical Science Analyst. Certificates 3 CPD Accredited PDF Certificate Digital certificate - Included Each CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hardcopy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Description: Gaming has been considered as one of the most popular hobbies in the world. Since the demand for games is not decreasing just yet, game development has continued to grow and develop. If you are interested in gaming, you need to put in your mind that learning the basics will help you in this industry. But adding lessons on how to develop and test games could take you a step ahead which this course will be able to provide. You will also be provided with social gaming guide and financial tips that could take you even further in the gaming industry. Who is the course for? Game developers or professionals who want to improve their gaming basics for development People who have an interest in becoming part of the game development industry. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Gaming 5 Course Bundle would be beneficial for the following careers: Animator Audio Engineer Beta Tester Creative Director Executive Producer Game Developer Game Programmer Game Tester Games Artist Product Manager QA Tester Software Developer. Gaming Basics Introduction 00:30:00 Understanding Consoles 01:00:00 Using Your Computer 01:00:00 Using Your Phone 01:00:00 Using the Internet 00:30:00 Where to Find Free Software 01:00:00 Understanding Accessories Dealing with Drugs 00:30:00 Wrapping Up 00:15:00 Developing Games Introduction To Game Creation 00:30:00 Essential Tools 01:00:00 2D Game Creation Software 01:00:00 3D Game Creation Software 01:00:00 3D Game Creation 00:30:00 Game Modification 01:00:00 How To Create a Game on a Social Site 00:30:00 Wrapping Up 00:15:00 Testing Games Introduction to Game Testing 01:00:00 Two Rules of Game Testing 01:00:00 How to Put a Resume Together 01:00:00 How give Examples During Job Interview 00:30:00 Contacting Game Developers 01:00:00 Use the Correct Search Keywords 00:30:00 Wrapping Up 00:15:00 Social Gaming Guide Introduction 01:00:00 How to Use the Application Launcher 00:30:00 Farmville on Facebook 01:00:00 Facebook Words with Friends 01:00:00 Facebook Social City 01:00:00 Finding Free Social Games 01:00:00 Being A Hero In Social Site Game 00:30:00 The Best Social Site Games 01:00:00 How to separate learning myths from reality 00:30:00 Financial Tips for Gamer Introduction 01:00:00 Basic Concept of Internet Safety 01:00:00 A Simple Guide for Buying budget Gaming 01:00:00 Keep Track of what you Spend 00:30:00 Why Being Naive Can Make Your Fortune 00:30:00 If you Need Help Get It 01:00:00 Be Careful not to Get Hooked 01:00:00 How to Handle Difficult Conversations at Work 00:30:00 The Best Way to Finance Games 00:15:00 Additional Supporting Materials Game QA & Testing 00:00:00 Become A Game Tester 00:00:00 Game Testing Changers 00:00:00 2D Game 00:00:00 Beginning Game Development with Python and Pygame 00:00:00 Game Development XNA GameStudio 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Gaming 5 Course Bundle 00:30:00 Final Exam Final Exam- Gaming 5 Course Bundle 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This course aims to teach users how to set a baseline and update an un-resourced project with Oracle Primavera P6 PPM Professional. This course teaches intermediate-level skills in Primavera project manager P6 PPM professional client.

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Become a network security expert with comprehensive Palo Alto firewall training. Master configurations and protection techniques.

Description: Computer operation can be difficult if you have no idea how to do it. However, it only takes a complete beginner course on the computer to learn how. You need to learn the basics, operation systems and how healthy computing works which this course provides. If you think you are ready to start your journey in learning all about the computer, then you don't have to wait for. Start learning now and understand why the computer is considered as a necessity in this modern age. Who is the course for? Beginner to advanced level users can benefit from the lessons we provide People who have an interest in learning about computer and computer maintenance Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Beginners Guide to Computers is a very useful qualification to possess, and will be very helpful to have especially for these careers: Computer Maintenance Staff IT Department Manager Computer Engineer Computer Specialist Computer Technician. Computer Fundamentals Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 Computer Essentials Introduction 00:15:00 Understanding The Components Of A PC 01:30:00 Do You Need To Upgrade Your PC? 01:00:00 Essential Softwares You Must Have On Your PC 01:00:00 Installing And Organizing Your PC 01:00:00 Troubleshooting Guidelines 01:00:00 How To Speak To A Technician 00:30:00 Summary 00:30:00 Operating Systems Introduction 00:15:00 What is an Operating System? 00:30:00 History of Operating System 00:30:00 What an Operating System Does 01:00:00 Microsoft Windows 00:15:00 MAC OS 01:00:00 UNIX 00:30:00 LINUX 00:30:00 GNU 00:30:00 Other Operating Systems999 01:00:00 Installing an Operating System 00:30:00 Defining The Processes 01:00:00 Conclusion 00:15:00 Healthy Computing Introduction 01:00:00 Body Position 01:00:00 Monitors 01:00:00 Keyboards 01:00:00 Mouse or Pointer 02:00:00 Document Holders and Desk 01:00:00 Chairs 02:00:00 Telephones 00:30:00 What Have We Learned 01:00:00 Work Process and Recognition 01:00:00 Lighting 01:00:00 Ventilation 00:30:00 Awkward Postures 02:00:00 Musculoskeletal Disorders (MSD) 02:00:00 4 Steps to Setting Up The Computer Workstation 01:00:00 Exercises and Breaks 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam-Beginners Guide to Computers 00:30:00 Final Exam Final Exam-Beginners Guide to Computers 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 5 Days 30 CPD hours This course is intended for This course is designed for Collaboration engineers and administration professionals in job roles such as: Network administrator Network architect Network designer Network engineer Network manager Overview After taking this course, you should be able to: Analyze and troubleshoot SIP, H.323, and media protocols Implement time-of-day routing, call park, call pickup, and meet-me conferences in Cisco Unified Communications Manager Implement call coverage in Cisco Unified Communications Manager Configure and troubleshoot Cisco Unified Communications Manager Device Mobility Configure and troubleshoot Cisco Unified Communications Manager Extension Mobility Configure and troubleshoot Cisco Unified Communications Manager Unified Mobility Implement Cisco Unified Communications Manager Express for SIP phones Implement globalized call routing within and between Cisco Unified Communications Manager clusters Implement Media Gateway Control Protocol (MGCP) fallback and Survivable Remote Site Telephony (SRST) in Cisco Unified Communications Manager and in Cisco IOS XE gateways Implement Call Admission Control and Automated Alternate Routing (AAR) in Cisco Unified Communications Manager Implement URI calling in Cisco Unified Communications Manager for calls within a cluster and between clusters Troubleshoot multisite Cisco Unified Communications Manager deployments Implement Intercluster Lookup Service (ILS) between Cisco Unified Communications Manager clusters and enable General Data Protection Regulation (GDPR) Configure and troubleshoot Cisco Unified Border Element In this course, you will learn how to use Cisco© Unified Communications Manager features to consolidate your communications infrastructure into a scalable, portable, and secure collaboration solution. This course prepares you for the 300-815 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) concentration exam and CCNP-Collaboration certification. Course Outline Analyzing and Troubleshooting Signaling and Media Protocols Implementing Cisco Unified Communications Manager Supplemental Services Implementing Call Coverage in Cisco Unified Communications Manager Configuring and Troubleshooting Cisco Unified Communications Manager Device Mobility Configuring and Troubleshooting Cisco Unified Communications Manager Extension Mobility Configuring and Troubleshooting Cisco Unified CM Unified Mobility Implementing Cisco Unified Communications Manager Express Implementing Globalized Call Routing Implementing Remote Site Survivability Implementing Call Admission Control in Cisco Unified Communications Manager Implementing URI Calling in Cisco Unified Communications Manager Troubleshooting Multisite Cisco Unified Communications Manager Deployments Examining Global Dial Plan Replication Configuring and Troubleshooting Cisco Unified Border Element Lab outline Analyze SIP, H.323, and Media Protocols Troubleshoot SIP and Media Protocols Implement Cisco Unified Communications Manager Supplemental Services Implement Call Hunting and Call Queueing in Cisco Unified Communications Manager Configure Device Mobility Troubleshoot Cisco Unified Communications Manager Device Mobility Configure Cisco Unified Communications Manager Extension Mobility Troubleshoot Cisco Unified Communications Manager Extension Mobility Configure Cisco Unified Mobility Troubleshoot Cisco Unified Mobility Implement Endpoints in Cisco Unified Communications Manager Express Implement Endpoint Addressing and Call Routing in Cisco Unified Communications Manager Express Implement Calling Privileges in Cisco Unified Communications Manager Express Implement Hunt Groups, Call Park, and Paging in Cisco United Communications Manager Express Implement Globalized Call Routing Implement TEHO, PSTN Backup, and CoS in a Globalized Call-Routing Deployment Implement MGCP Fallback and Survivable Remote Site Telephony Implement Call Admission Control Implement a URI-Based Dial Plan for Multisite Deployments Troubleshoot Globalized Call Routing Troubleshoot Call Admission Control Implement Global Dial Plan Replication Implement Cisco Unified Border Element Troubleshoot Cisco Unified Border Element

CompTIA Security+ Certification is a comprehensive course covering essential aspects of information security, designed to equip learners with the foundational knowledge and skills needed to navigate the complex landscape of cybersecurity.